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Observation impact over the southern polar area during the Concordiasi field campaign

Abstract : The impact of observations on analysis uncertainty and forecast performance was investigated for austral spring 2010 over the southern polar area for four different systems (NRL, GMAO, ECMWF and Météo-France) at the time of the Concordiasi field experiment. The largest multi-model variance in 500 hPa height analyses is found in the southern sub-Antarctic oceanic region, where there are rapidly evolving weather systems, rapid forecast-error growth, and fewer upper-air wind observation data to constrain the analyses. The total impact of all observations on the model forecast was computed using the 24 h forecast sensitivity-to-observations diagnostic. Observation types that contribute most to the reduction of the forecast error are shown to be AMSU, IASI, AIRS, GPS-RO, radiosonde, surface and atmospheric motion vector observations. For sounding data, radiosondes and dropsondes, one can note a large impact on the analysis and forecasts of temperature at low levels and a large impact of wind at high levels. Observing system experiments using the Concordiasi dropsondes show a large impact of the observations over the Antarctic plateau extending to lower latitudes with the forecast range, with the largest impact around 50-70 • S. These experiments indicate there is a potential benefit from using radiance data better over land and sea-ice and from innovative atmospheric motion vectors obtained from a combination of various satellites to fill the current data gaps and improve numerical weather prediction analyses in this region.
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https://hal-meteofrance.archives-ouvertes.fr/meteo-02880232
Contributor : Vincent Guidard <>
Submitted on : Wednesday, June 24, 2020 - 4:40:57 PM
Last modification on : Thursday, June 25, 2020 - 3:33:24 AM

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Nathalie Boullot, Florence Rabier, Rolf Langland, Ron Gelaro, Carla Cardinali, et al.. Observation impact over the southern polar area during the Concordiasi field campaign. Quarterly Journal of the Royal Meteorological Society Q. J. R. Meteorol. Soc, 2016, 142, pp.597 - 610. ⟨10.1002/qj.2470⟩. ⟨meteo-02880232⟩

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